The Digital Foodscape and the Farm
Published: | Updated: Extract from The Lempert Report and Re-Published Progressive Grocer Joseph Byrum’s recent column in Ag Funder News explores artificial […]
Published: | Updated: Extract from The Lempert Report and Re-Published Progressive Grocer Joseph Byrum’s recent column in Ag Funder News explores artificial […]
Sensing technologies are evolving rapidly, which means it’s often up to farmers to use trial and error to determine what off-the-shelf products can deliver a “quick fix,” and which can be scientifically validated to contribute to increasing yield and profits over time.
Joseph Byrum, Global Head of Product Development for Oil Seeds at Syngenta discusses their industry changing machine learning and artificial intelligence modeling that will dramatically accelerate the product development of new genetics.
We are so excited to see the value that new ideas in analytics bring to increasing efficiency and productivity in seed breeding.
Agriculture is transforming into a data driven business
Unlock AI potential in agriculture. Expert analysis reveals why current machine learning fails in farming & key strategies for successful deployment.
The rise of digital agriculture and its related technologies has opened a wealth of new data opportunities.
Today’s chicken soups are a marvel of advanced technology — a technology that’s bringing consumers a product that is cheaper, safer and tastier than ever before.
This is taking in all of the genetic information we have on soybeans and weather data and trying to figure out a way to select those varieties tacross a broader array of environments
In the face of a rising global population, we need to grow plants that can adapt and thrive in changing conditions, especially as vital resources like water and land are finite.